Can I Run Mistral Small 3 on a NVIDIA RTX 4080?
Runs at Q4_1 — good quality with reasonable headroom.
8 quantizations fit your 16.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q4_1BEST | 15.8 GB | 17.3 GB | 14.9 GB | +0.3 GB |
| Q4_K_M | 15.3 GB | 16.8 GB | 14.3 GB | +0.7 GB |
| Q4_K_S | 14.5 GB | 16.0 GB | 13.6 GB | +1.5 GB |
| Q4_0 | 14.3 GB | 15.8 GB | 13.5 GB | +1.7 GB |
| Q3_K_L | 11.5 GB | 13.0 GB | 12.4 GB | +4.5 GB |
| Q3_K_M | 10.9 GB | 12.4 GB | 11.5 GB | +5.1 GB |
| Q3_K_S | 10.1 GB | 11.6 GB | 10.4 GB | +5.9 GB |
| Q2_K | 8.8 GB | 10.3 GB | 8.9 GB | +7.2 GB |
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All quant variants, benchmark scores, and use-case tags.
Top-ranked open-source models that fit in 16.0GB.
FAQ
Can the NVIDIA RTX 4080 run Mistral Small 3?
Yes. The NVIDIA RTX 4080's 16.0GB of VRAM is enough to run Mistral Small 3 at Q4_1 quantization (15.8GB required).
What's the best quantization to use?
Q4_1 is the highest-precision quantization that fits in your 16.0GB. It uses about 15.8GB of memory and 17.3GB recommended for comfortable inference.
What if I need more headroom for context length?
KV cache memory grows with context length. The numbers above assume a baseline 2K-4K context. For long-context use (32K+), add another 2-6GB depending on the model architecture.